Metadata-Version: 2.1
Name: lsreader
Version: 0.0.24
Summary: A reader to extract LS-DYNA results
Home-page: UNKNOWN
Author: LS-PrePost
Author-email: hexi_lstc@outlook.com
License: UNKNOWN
Keywords: ls-dyna,d3plot,binout
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Programming Language :: C++
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.5
Description-Content-Type: text/markdown

# LS-Reader Project

The LS-Reader is designed to read LS-DYNA results and can extract the data of more than 100 such as stress, strain, id, history variable, effective plastic strain, number of elements and so on now. The LS-Reader provides an uniform interface for getting these data. For convenience, input parameters, like number of state, number of integration point, are designed as keyword arguments. More details please see [LS-Reader Tutorial][tutorial].



## How to use

```python
# D3plotReader
from lsreader import D3plotReader, DataType as dt

data_path = your/d3plot/file/path
dr = D3plotReader(data_path)

shell_stress = dr.get_data(dt.D3P_SHELL_STRESS, ist=0, ipt=1)
print(shell_stress[0].x())

shell_eps = dr.get_data(dt.D3P_SHELL_EFFECTIVE_PLASTIC_STRAIN, ist=0, ipt=1)
print(shell_eps[0])

thickness = dr.get_data(dt.D3P_SHELL_THICKNESS, ist=11)
print(thickness[0])

num_solid_element = dr.get_data(dt.D3P_NUM_SOLID)
print(num_solid_element)

# Get d3plot data by part
num_solid_pid_4 = dr.get_data(dt.D3P_NUM_SOLID, ipart_user=4)

shell_stress_pid_4 = dr.get_data(dt.D3P_SHELL_STRESS, ist=4, ipt=0, ipart_user=4)

# Get numpy array(numpy is required to be installed, using "pip install numpy")
shell_stress = dr.get_data(dt.D3P_SHELL_STRESS, ist=0, ipt=1, ask_for_numpy_array=True)
print(shell_stress)

# BinoutReader
from lsreader import BinoutReader, BINOUT_DataType as bdt

data_path = your/binout/file/path
br = BinoutReader(data_path)

branches = br.get_data(bdt.BINOUT_BRANCHES)
print(branches)

ids = br.get_data(bdt.BINOUT_NODOUT_IDS)
print(ids)
...
...
...

```



[Latest Tutorial][tutorial]

[The examples and documents for this project is available here][example].

[tutorial]: <https://github.com/LS-Reader/LS-Reader-Tutorial>
[example]: <http://ftp.lstc.com/anonymous/outgoing/lsprepost/LS-Reader/>

